Description

• Key Responsibilities
•  Design and implement end-to-end AI/ML architectures and develop production-ready solutions using modern AI frameworks and cloud-native technologies.
• Architect, provision, and manage secure, scalable, and resilient AI infrastructure on AWS using Terraform and Infrastructure as Code principles.
• Build, optimize, and deploy advanced multi-agent systems and orchestration frameworks leveraging AWS Agent Core, Amazon Bedrock Agents, and Knowledge Bases.
• Develop and maintain robust data, model, and inference pipelines that integrate LLMs, vector databases, and enterprise applications.
• Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases.
• Establish and drive best practices across AI Engineering, MLOps, and LLMOps to ensure scalable, reliable, and governed AI deployments.
• Provide technical leadership, mentor engineering teams, and collaborate with business and technology stakeholders to deliver AI initiatives successfully.
• Required Skills & Qualifications Strong experience designing and deploying AI/ML and Generative AI solutions from proof of concept through production implementation

Key Skills

Education

Bachelor's degree